Profile Report Obesity

Dataset statistics

Number of variables	20
Number of observations	4430
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	1
Duplicate rows (%)	< 0.1%
Total size in memory	726.8 KiB
Average record size in memory	168.0 B

Variable types

Numeric	8
Categorical	12

Alerts

Dataset has 1 (< 0.1%) duplicate rows	Duplicates
`age` is highly overall correlated with `age_range`	High correlation
`height` is highly overall correlated with `weight` and 2 other fields	High correlation
`weight` is highly overall correlated with `height` and 9 other fields	High correlation
`waist_circum_preferred` is highly overall correlated with `weight` and 10 other fields	High correlation
`hip_circum` is highly overall correlated with `weight` and 7 other fields	High correlation
`bmi` is highly overall correlated with `weight` and 9 other fields	High correlation
`rcc` is highly overall correlated with `weight` and 4 other fields	High correlation
`ict` is highly overall correlated with `weight` and 11 other fields	High correlation
`age_range` is highly overall correlated with `age`	High correlation
`gender` is highly overall correlated with `height` and 2 other fields	High correlation
`gender_bin` is highly overall correlated with `height` and 2 other fields	High correlation
`obesity_bmi` is highly overall correlated with `weight` and 10 other fields	High correlation
`obesity_bmi_txt` is highly overall correlated with `weight` and 10 other fields	High correlation
`obesity_cc` is highly overall correlated with `weight` and 12 other fields	High correlation
`obesity_cc_txt` is highly overall correlated with `weight` and 12 other fields	High correlation
`obesity_rcc` is highly overall correlated with `obesity_cc` and 3 other fields	High correlation
`obesity_rcc_txt` is highly overall correlated with `obesity_cc` and 3 other fields	High correlation
`obesity_ict` is highly overall correlated with `waist_circum_preferred` and 8 other fields	High correlation
`obesity_ict_txt` is highly overall correlated with `waist_circum_preferred` and 8 other fields	High correlation
`risk_factors` is highly overall correlated with `ict` and 8 other fields	High correlation

Reproduction

Analysis started	2023-08-05 03:31:01.954670
Analysis finished	2023-08-05 03:31:20.564687
Duration	18.61 seconds
Software version	ydata-profiling vv4.2.0
Download configuration	config.json

age
Real number (ℝ)

Distinct	321
Distinct (%)	7.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.764312

Minimum	17.5
Maximum	79
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.2 KiB

Quantile statistics

Minimum	17.5
5-th percentile	19.8
Q1	26.4
median	37
Q3	48
95-th percentile	60
Maximum	79
Range	61.5
Interquartile range (IQR)	21.6

Descriptive statistics

Standard deviation	12.786156
Coefficient of variation (CV)	0.33857775
Kurtosis	-0.97730004
Mean	37.764312
Median Absolute Deviation (MAD)	11
Skewness	0.27890733
Sum	167295.9
Variance	163.48578
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41	113	2.6%
39	105	2.4%
48	104	2.3%
40	103	2.3%
29	101	2.3%
20	100	2.3%
38	99	2.2%
27	96	2.2%
36	96	2.2%
35	96	2.2%
Other values (311)	3417	77.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17.5	1	< 0.1%
18	41	0.9%
18.1	8	0.2%
18.2	7	0.2%
18.3	4	0.1%
18.4	4	0.1%
18.5	7	0.2%
18.6	5	0.1%
18.7	3	0.1%
18.8	9	0.2%

Value	Count	Frequency (%)
79	1	< 0.1%
70	1	< 0.1%
69	1	< 0.1%
68	1	< 0.1%
66	4	0.1%
65	32	0.7%
64.8	1	< 0.1%
64.6	1	< 0.1%
64.3	1	< 0.1%
64	38	0.9%

age_range
Categorical

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.2 KiB

26-35	1068
36-45	1038
17-25	1001
46-55	842
56-65	473

Length

Max length	6
Median length	5
Mean length	5.0018059
Min length	5

Characters and Unicode

Total characters	22158
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	46-55
2nd row	46-55
3rd row	26-35
4th row	46-55
5th row	46-55

Common Values

Value	Count	Frequency (%)
26-35	1068	24.1%
36-45	1038	23.4%
17-25	1001	22.6%
46-55	842	19.0%
56-65	473	10.7%
66-100	8	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
26-35	1068	24.1%
36-45	1038	23.4%
17-25	1001	22.6%
46-55	842	19.0%
56-65	473	10.7%
66-100	8	0.2%

Most occurring characters

Value	Count	Frequency (%)
5	5737	25.9%
-	4430	20.0%
6	3910	17.6%
3	2106	9.5%
2	2069	9.3%
4	1880	8.5%
1	1009	4.6%
7	1001	4.5%
0	16	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	17728	80.0%
Dash Punctuation	4430	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	5737	32.4%
6	3910	22.1%
3	2106	11.9%
2	2069	11.7%
4	1880	10.6%
1	1009	5.7%
7	1001	5.6%
0	16	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	4430	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	22158	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	5737	25.9%
-	4430	20.0%
6	3910	17.6%
3	2106	9.5%
2	2069	9.3%
4	1880	8.5%
1	1009	4.6%
7	1001	4.5%
0	16	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22158	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	5737	25.9%
-	4430	20.0%
6	3910	17.6%
3	2106	9.5%
2	2069	9.3%
4	1880	8.5%
1	1009	4.6%
7	1001	4.5%
0	16	0.1%

gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.2 KiB

female	2340
male	2090

Length

Max length	6
Median length	6
Mean length	5.0564334
Min length	4

Characters and Unicode

Total characters	22400
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	male
2nd row	male
3rd row	male
4th row	male
5th row	male

Common Values

Value	Count	Frequency (%)
female	2340	52.8%
male	2090	47.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	2340	52.8%
male	2090	47.2%

Most occurring characters

Value	Count	Frequency (%)
e	6770	30.2%
m	4430	19.8%
a	4430	19.8%
l	4430	19.8%
f	2340	10.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22400	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6770	30.2%
m	4430	19.8%
a	4430	19.8%
l	4430	19.8%
f	2340	10.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	22400	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6770	30.2%
m	4430	19.8%
a	4430	19.8%
l	4430	19.8%
f	2340	10.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22400	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6770	30.2%
m	4430	19.8%
a	4430	19.8%
l	4430	19.8%
f	2340	10.4%

height
Real number (ℝ)

Distinct	515
Distinct (%)	11.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	170.93756

Minimum	124.7902
Maximum	218.2876
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.2 KiB

Quantile statistics

Minimum	124.7902
5-th percentile	154.9908
Q1	163.322
median	170.4086
Q3	177.9016
95-th percentile	188.44768
Maximum	218.2876
Range	93.4974
Interquartile range (IQR)	14.5796

Descriptive statistics

Standard deviation	10.387864
Coefficient of variation (CV)	0.060769934
Kurtosis	-0.00065702733
Mean	170.93756
Median Absolute Deviation (MAD)	7.2898
Skewness	0.24526911
Sum	757253.4
Variance	107.90773
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
164.0078	29	0.7%
171.5008	27	0.6%
168.3004	25	0.6%
168.5036	25	0.6%
164.4904	25	0.6%
172.8978	24	0.5%
176.5046	24	0.5%
162.0012	22	0.5%
166.497	22	0.5%
171.0944	22	0.5%
Other values (505)	4185	94.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
124.7902	1	< 0.1%
131.4958	1	< 0.1%
138.0998	1	< 0.1%
138.2014	1	< 0.1%
142.5956	1	< 0.1%
143.6116	1	< 0.1%
144.5006	1	< 0.1%
145.288	1	< 0.1%
145.796	1	< 0.1%
146.5072	1	< 0.1%

Value	Count	Frequency (%)
218.2876	1	< 0.1%
208.407	1	< 0.1%
207.2894	1	< 0.1%
206.8068	1	< 0.1%
205.4098	1	< 0.1%
205.3082	1	< 0.1%
204.597	1	< 0.1%
203.9112	1	< 0.1%
203.3016	1	< 0.1%
202.692	1	< 0.1%

weight
Real number (ℝ)

Distinct	993
Distinct (%)	22.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	75.205328

Minimum	37.33242
Maximum	181.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.2 KiB

Quantile statistics

Minimum	37.33242
5-th percentile	51.302
Q1	61.95738
median	72.186
Q3	84.898
95-th percentile	109.187
Maximum	181.6
Range	144.26758
Interquartile range (IQR)	22.94062

Descriptive statistics

Standard deviation	18.419132
Coefficient of variation (CV)	0.24491791
Kurtosis	2.0663078
Mean	75.205328
Median Absolute Deviation (MAD)	11.16159
Skewness	1.1269469
Sum	333159.6
Variance	339.26442
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68.554	35	0.8%
73.548	26	0.6%
75.364	25	0.6%
58.339	25	0.6%
78.769	23	0.5%
76.953	22	0.5%
71.959	22	0.5%
65.149	20	0.5%
56.75	20	0.5%
66.965	20	0.5%
Other values (983)	4192	94.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
37.33242	1	< 0.1%
37.93624	1	< 0.1%
39.271	1	< 0.1%
39.952	1	< 0.1%
41.53646	1	< 0.1%
41.541	1	< 0.1%
41.93598	1	< 0.1%
42.222	1	< 0.1%
42.93932	1	< 0.1%
43.33884	1	< 0.1%

Value	Count	Frequency (%)
181.6	1	< 0.1%
160.035	1	< 0.1%
156.857	1	< 0.1%
156.63	3	0.1%
156.176	2	< 0.1%
155.949	1	< 0.1%
155.041	3	0.1%
154.814	1	< 0.1%
154.587	1	< 0.1%
154.133	1	< 0.1%

waist_circum_preferred
Real number (ℝ)

Distinct	631
Distinct (%)	14.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	84.701265

Minimum	55.7022
Maximum	170.2054
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.2 KiB

Quantile statistics

Minimum	55.7022
5-th percentile	66.4972
Q1	75.0062
median	83.0072
Q3	92.2782
95-th percentile	108.8898
Maximum	170.2054
Range	114.5032
Interquartile range (IQR)	17.272

Descriptive statistics

Standard deviation	13.362246
Coefficient of variation (CV)	0.15775734
Kurtosis	1.9160554
Mean	84.701265
Median Absolute Deviation (MAD)	8.4836
Skewness	0.97778939
Sum	375226.61
Variance	178.54963
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
78.994	28	0.6%
74.7014	25	0.6%
80.4926	24	0.5%
73.9902	24	0.5%
80.01	23	0.5%
72.4916	23	0.5%
79.502	23	0.5%
75.0062	23	0.5%
72.009	22	0.5%
73.5076	22	0.5%
Other values (621)	4193	94.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
55.7022	1	< 0.1%
56.3118	1	< 0.1%
56.6928	1	< 0.1%
56.9976	2	< 0.1%
57.2008	1	< 0.1%
57.404	1	< 0.1%
57.8104	1	< 0.1%
57.9882	1	< 0.1%
58.0898	1	< 0.1%
58.3946	1	< 0.1%

Value	Count	Frequency (%)
170.2054	1	< 0.1%
165.3032	1	< 0.1%
152.908	1	< 0.1%
149.8092	1	< 0.1%
148.4122	1	< 0.1%
142.1892	1	< 0.1%
141.9098	1	< 0.1%
140.9954	2	< 0.1%
140.6906	1	< 0.1%
139.7	1	< 0.1%

hip_circum
Real number (ℝ)

Distinct	521
Distinct (%)	11.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	103.51346

Minimum	80.01
Maximum	183.388
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.2 KiB

Quantile statistics

Minimum	80.01
5-th percentile	90.805
Q1	96.6978
median	101.9048
Q3	108.1024
95-th percentile	121.64568
Maximum	183.388
Range	103.378
Interquartile range (IQR)	11.4046

Descriptive statistics

Standard deviation	10.273928
Coefficient of variation (CV)	0.099252101
Kurtosis	5.4614036
Mean	103.51346
Median Absolute Deviation (MAD)	5.588
Skewness	1.6151061
Sum	458564.62
Variance	105.5536
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
98.5012	37	0.8%
96.012	37	0.8%
103.505	37	0.8%
97.9932	37	0.8%
105.2068	35	0.8%
99.0092	34	0.8%
95.504	32	0.7%
99.9998	32	0.7%
101.4984	32	0.7%
106.5022	31	0.7%
Other values (511)	4086	92.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
80.01	1	< 0.1%
81.0006	1	< 0.1%
81.1022	1	< 0.1%
81.3054	1	< 0.1%
81.6102	1	< 0.1%
81.7118	1	< 0.1%
81.9912	1	< 0.1%
82.0928	1	< 0.1%
82.1944	1	< 0.1%
82.4992	1	< 0.1%

Value	Count	Frequency (%)
183.388	1	< 0.1%
173.8122	1	< 0.1%
168.7068	1	< 0.1%
167.2082	1	< 0.1%
165.989	1	< 0.1%
164.4904	1	< 0.1%
161.5948	1	< 0.1%
161.0106	1	< 0.1%
160.401	1	< 0.1%
157.7086	1	< 0.1%

gender_bin
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.2 KiB

0	2340
1	2090

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	2340	52.8%
1	2090	47.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2340	52.8%
1	2090	47.2%

Most occurring characters

Value	Count	Frequency (%)
0	2340	52.8%
1	2090	47.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2340	52.8%
1	2090	47.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	4430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2340	52.8%
1	2090	47.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2340	52.8%
1	2090	47.2%

bmi
Real number (ℝ)

Distinct	4360
Distinct (%)	98.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.608337

Minimum	15.26363
Maximum	57.18016
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.2 KiB

Quantile statistics

Minimum	15.26363
5-th percentile	19.303918
Q1	21.940406
median	24.498035
Q3	27.973753
95-th percentile	35.943392
Maximum	57.18016
Range	41.91653
Interquartile range (IQR)	6.0333469

Descriptive statistics

Standard deviation	5.2884329
Coefficient of variation (CV)	0.20651215
Kurtosis	3.6002756
Mean	25.608337
Median Absolute Deviation (MAD)	2.8678445
Skewness	1.5065727
Sum	113444.93
Variance	27.967522
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26.78076826	3	0.1%
25.00608087	2	< 0.1%
32.17321301	2	< 0.1%
20.56090456	2	< 0.1%
23.6381695	2	< 0.1%
24.46408157	2	< 0.1%
23.45569078	2	< 0.1%
20.57467771	2	< 0.1%
24.07569357	2	< 0.1%
25.81653715	2	< 0.1%
Other values (4350)	4409	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15.26362956	1	< 0.1%
15.9883282	1	< 0.1%
16.13788922	1	< 0.1%
16.53929152	1	< 0.1%
16.57057588	1	< 0.1%
16.61050776	1	< 0.1%
16.64925105	1	< 0.1%
16.66207008	1	< 0.1%
16.72722699	1	< 0.1%
16.8282237	1	< 0.1%

Value	Count	Frequency (%)
57.18015963	1	< 0.1%
55.20975085	1	< 0.1%
55.1216726	1	< 0.1%
54.95947618	1	< 0.1%
54.23303619	1	< 0.1%
54.17664219	1	< 0.1%
54.12704563	1	< 0.1%
52.88574683	1	< 0.1%
52.49600496	1	< 0.1%
52.08920258	1	< 0.1%

rcc
Real number (ℝ)

Distinct	4308
Distinct (%)	97.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.81692117

Minimum	0.58329498
Maximum	1.153405
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.2 KiB

Quantile statistics

Minimum	0.58329498
5-th percentile	0.67922288
Q1	0.75261413
median	0.8209291
Q3	0.8763767
95-th percentile	0.95800983
Maximum	1.153405
Range	0.57011003
Interquartile range (IQR)	0.12376257

Descriptive statistics

Standard deviation	0.085733377
Coefficient of variation (CV)	0.10494694
Kurtosis	-0.38971337
Mean	0.81692117
Median Absolute Deviation (MAD)	0.061899148
Skewness	0.10258363
Sum	3618.9608
Variance	0.0073502119
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	3	0.1%
0.81000762	3	0.1%
0.8333333333	3	0.1%
0.8234175496	2	< 0.1%
0.6887033171	2	< 0.1%
0.7923098512	2	< 0.1%
0.8736416477	2	< 0.1%
0.7825506937	2	< 0.1%
0.8287959585	2	< 0.1%
0.7840995682	2	< 0.1%
Other values (4298)	4407	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.5832949839	1	< 0.1%
0.5900981267	1	< 0.1%
0.6033934252	1	< 0.1%
0.605026455	1	< 0.1%
0.6050292101	1	< 0.1%
0.6102551757	1	< 0.1%
0.6109082611	1	< 0.1%
0.6114635747	1	< 0.1%
0.6120020693	1	< 0.1%
0.6183319221	1	< 0.1%

Value	Count	Frequency (%)
1.153405018	1	< 0.1%
1.130742765	1	< 0.1%
1.102542192	1	< 0.1%
1.094704922	1	< 0.1%
1.085543608	1	< 0.1%
1.083585565	1	< 0.1%
1.078136201	1	< 0.1%
1.072791658	1	< 0.1%
1.071706368	1	< 0.1%
1.066723879	1	< 0.1%

ict
Real number (ℝ)

Distinct	4347
Distinct (%)	98.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.49540434

Minimum	0.33421014
Maximum	0.97087801
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	69.2 KiB

Quantile statistics

Minimum	0.33421014
5-th percentile	0.40400577
Q1	0.44582916
median	0.48235249
Q3	0.53047123
95-th percentile	0.63278092
Maximum	0.97087801
Range	0.63666786
Interquartile range (IQR)	0.084642072

Descriptive statistics

Standard deviation	0.071841971
Coefficient of variation (CV)	0.14501684
Kurtosis	2.8448771
Mean	0.49540434
Median Absolute Deviation (MAD)	0.040972949
Skewness	1.2811297
Sum	2194.6412
Variance	0.0051612688
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.5	3	0.1%
0.4414470607	3	0.1%
0.5076018359	2	< 0.1%
0.5743694615	2	< 0.1%
0.3598460552	2	< 0.1%
0.4585720923	2	< 0.1%
0.5046684602	2	< 0.1%
0.4383907363	2	< 0.1%
0.4939657592	2	< 0.1%
0.5348804302	2	< 0.1%
Other values (4337)	4408	99.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.3342101418	1	< 0.1%
0.3429639212	1	< 0.1%
0.3510688836	1	< 0.1%
0.3526946973	1	< 0.1%
0.3565334531	1	< 0.1%
0.3586460633	1	< 0.1%
0.3598460552	2	< 0.1%
0.3643308359	1	< 0.1%
0.3650768748	1	< 0.1%
0.3654984069	1	< 0.1%

Value	Count	Frequency (%)
0.9708780064	1	< 0.1%
0.9177831053	1	< 0.1%
0.8755938242	1	< 0.1%
0.8732230925	1	< 0.1%
0.8648608644	1	< 0.1%
0.8627543777	1	< 0.1%
0.8555067462	1	< 0.1%
0.8469601677	1	< 0.1%
0.8352392416	1	< 0.1%
0.8342395526	1	< 0.1%

obesity_bmi
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.2 KiB

1	2313
2	1311
3	716
0	90

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4430
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	2
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
1	2313	52.2%
2	1311	29.6%
3	716	16.2%
0	90	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2313	52.2%
2	1311	29.6%
3	716	16.2%
0	90	2.0%

Most occurring characters

Value	Count	Frequency (%)
1	2313	52.2%
2	1311	29.6%
3	716	16.2%
0	90	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2313	52.2%
2	1311	29.6%
3	716	16.2%
0	90	2.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2313	52.2%
2	1311	29.6%
3	716	16.2%
0	90	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2313	52.2%
2	1311	29.6%
3	716	16.2%
0	90	2.0%

obesity_bmi_txt
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.2 KiB

1-Normal	2313
2-Sobrepeso	1311
3-Obesidad	716
0-Bajo Peso	90

Length

Max length	11
Median length	8
Mean length	9.272009
Min length	8

Characters and Unicode

Total characters	41075
Distinct characters	23
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3-Obesidad
2nd row	3-Obesidad
3rd row	2-Sobrepeso
4th row	3-Obesidad
5th row	3-Obesidad

Common Values

Value	Count	Frequency (%)
1-Normal	2313	52.2%
2-Sobrepeso	1311	29.6%
3-Obesidad	716	16.2%
0-Bajo Peso	90	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1-normal	2313	51.2%
2-sobrepeso	1311	29.0%
3-obesidad	716	15.8%
0-bajo	90	2.0%
peso	90	2.0%

Most occurring characters

Value	Count	Frequency (%)
o	5115	12.5%
-	4430	10.8%
r	3624	8.8%
e	3428	8.3%
a	3119	7.6%
l	2313	5.6%
1	2313	5.6%
m	2313	5.6%
N	2313	5.6%
s	2117	5.2%
Other values (13)	9990	24.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	27605	67.2%
Uppercase Letter	4520	11.0%
Dash Punctuation	4430	10.8%
Decimal Number	4430	10.8%
Space Separator	90	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	5115	18.5%
r	3624	13.1%
e	3428	12.4%
a	3119	11.3%
l	2313	8.4%
m	2313	8.4%
s	2117	7.7%
b	2027	7.3%
d	1432	5.2%
p	1311	4.7%
Other values (2)	806	2.9%

Uppercase Letter

Value	Count	Frequency (%)
N	2313	51.2%
S	1311	29.0%
O	716	15.8%
B	90	2.0%
P	90	2.0%

Decimal Number

Value	Count	Frequency (%)
1	2313	52.2%
2	1311	29.6%
3	716	16.2%
0	90	2.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4430	100.0%

Space Separator

Value	Count	Frequency (%)
	90	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	32125	78.2%
Common	8950	21.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	5115	15.9%
r	3624	11.3%
e	3428	10.7%
a	3119	9.7%
l	2313	7.2%
m	2313	7.2%
N	2313	7.2%
s	2117	6.6%
b	2027	6.3%
d	1432	4.5%
Other values (7)	4324	13.5%

Common

Value	Count	Frequency (%)
-	4430	49.5%
1	2313	25.8%
2	1311	14.6%
3	716	8.0%
0	90	1.0%
	90	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41075	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	5115	12.5%
-	4430	10.8%
r	3624	8.8%
e	3428	8.3%
a	3119	7.6%
l	2313	5.6%
1	2313	5.6%
m	2313	5.6%
N	2313	5.6%
s	2117	5.2%
Other values (13)	9990	24.3%

obesity_cc
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.2 KiB

0	2898
1	1532

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4430
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	2898	65.4%
1	1532	34.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2898	65.4%
1	1532	34.6%

Most occurring characters

Value	Count	Frequency (%)
0	2898	65.4%
1	1532	34.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2898	65.4%
1	1532	34.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	4430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2898	65.4%
1	1532	34.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2898	65.4%
1	1532	34.6%

obesity_cc_txt
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.2 KiB

0-Bajo	2898
1-Alto	1532

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	26580
Distinct characters	10
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1-Alto
2nd row	1-Alto
3rd row	1-Alto
4th row	1-Alto
5th row	1-Alto

Common Values

Value	Count	Frequency (%)
0-Bajo	2898	65.4%
1-Alto	1532	34.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0-bajo	2898	65.4%
1-alto	1532	34.6%

Most occurring characters

Value	Count	Frequency (%)
-	4430	16.7%
o	4430	16.7%
0	2898	10.9%
B	2898	10.9%
a	2898	10.9%
j	2898	10.9%
1	1532	5.8%
A	1532	5.8%
l	1532	5.8%
t	1532	5.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13290	50.0%
Dash Punctuation	4430	16.7%
Decimal Number	4430	16.7%
Uppercase Letter	4430	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	4430	33.3%
a	2898	21.8%
j	2898	21.8%
l	1532	11.5%
t	1532	11.5%

Decimal Number

Value	Count	Frequency (%)
0	2898	65.4%
1	1532	34.6%

Uppercase Letter

Value	Count	Frequency (%)
B	2898	65.4%
A	1532	34.6%

Dash Punctuation

Value	Count	Frequency (%)
-	4430	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17720	66.7%
Common	8860	33.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	4430	25.0%
B	2898	16.4%
a	2898	16.4%
j	2898	16.4%
A	1532	8.6%
l	1532	8.6%
t	1532	8.6%

Common

Value	Count	Frequency (%)
-	4430	50.0%
0	2898	32.7%
1	1532	17.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26580	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	4430	16.7%
o	4430	16.7%
0	2898	10.9%
B	2898	10.9%
a	2898	10.9%
j	2898	10.9%
1	1532	5.8%
A	1532	5.8%
l	1532	5.8%
t	1532	5.8%

obesity_rcc
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.2 KiB

0	3556
1	543
2	331

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4430
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	3556	80.3%
1	543	12.3%
2	331	7.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3556	80.3%
1	543	12.3%
2	331	7.5%

Most occurring characters

Value	Count	Frequency (%)
0	3556	80.3%
1	543	12.3%
2	331	7.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3556	80.3%
1	543	12.3%
2	331	7.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	4430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3556	80.3%
1	543	12.3%
2	331	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3556	80.3%
1	543	12.3%
2	331	7.5%

obesity_rcc_txt
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.2 KiB

0-Bajo	3556
1-Medio	543
2-Alto	331

Length

Max length	7
Median length	6
Mean length	6.1225734
Min length	6

Characters and Unicode

Total characters	27123
Distinct characters	15
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1-Medio
2nd row	0-Bajo
3rd row	0-Bajo
4th row	1-Medio
5th row	0-Bajo

Common Values

Value	Count	Frequency (%)
0-Bajo	3556	80.3%
1-Medio	543	12.3%
2-Alto	331	7.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0-bajo	3556	80.3%
1-medio	543	12.3%
2-alto	331	7.5%

Most occurring characters

Value	Count	Frequency (%)
-	4430	16.3%
o	4430	16.3%
0	3556	13.1%
B	3556	13.1%
a	3556	13.1%
j	3556	13.1%
1	543	2.0%
M	543	2.0%
e	543	2.0%
d	543	2.0%
Other values (5)	1867	6.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13833	51.0%
Dash Punctuation	4430	16.3%
Decimal Number	4430	16.3%
Uppercase Letter	4430	16.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	4430	32.0%
a	3556	25.7%
j	3556	25.7%
e	543	3.9%
d	543	3.9%
i	543	3.9%
l	331	2.4%
t	331	2.4%

Decimal Number

Value	Count	Frequency (%)
0	3556	80.3%
1	543	12.3%
2	331	7.5%

Uppercase Letter

Value	Count	Frequency (%)
B	3556	80.3%
M	543	12.3%
A	331	7.5%

Dash Punctuation

Value	Count	Frequency (%)
-	4430	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18263	67.3%
Common	8860	32.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	4430	24.3%
B	3556	19.5%
a	3556	19.5%
j	3556	19.5%
M	543	3.0%
e	543	3.0%
d	543	3.0%
i	543	3.0%
A	331	1.8%
l	331	1.8%

Common

Value	Count	Frequency (%)
-	4430	50.0%
0	3556	40.1%
1	543	6.1%
2	331	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27123	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	4430	16.3%
o	4430	16.3%
0	3556	13.1%
B	3556	13.1%
a	3556	13.1%
j	3556	13.1%
1	543	2.0%
M	543	2.0%
e	543	2.0%
d	543	2.0%
Other values (5)	1867	6.9%

obesity_ict
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.2 KiB

1	2399
2	1268
3	428
0	335

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4430
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
1	2399	54.2%
2	1268	28.6%
3	428	9.7%
0	335	7.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	2399	54.2%
2	1268	28.6%
3	428	9.7%
0	335	7.6%

Most occurring characters

Value	Count	Frequency (%)
1	2399	54.2%
2	1268	28.6%
3	428	9.7%
0	335	7.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2399	54.2%
2	1268	28.6%
3	428	9.7%
0	335	7.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	4430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	2399	54.2%
2	1268	28.6%
3	428	9.7%
0	335	7.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	2399	54.2%
2	1268	28.6%
3	428	9.7%
0	335	7.6%

obesity_ict_txt
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.2 KiB

1-Normal	2399
2-Sobrepeso	1268
3-Obesidad	428
0-Delgado	335

Length

Max length	11
Median length	8
Mean length	9.1275395
Min length	8

Characters and Unicode

Total characters	40435
Distinct characters	21
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3-Obesidad
2nd row	2-Sobrepeso
3rd row	2-Sobrepeso
4th row	2-Sobrepeso
5th row	2-Sobrepeso

Common Values

Value	Count	Frequency (%)
1-Normal	2399	54.2%
2-Sobrepeso	1268	28.6%
3-Obesidad	428	9.7%
0-Delgado	335	7.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1-normal	2399	54.2%
2-sobrepeso	1268	28.6%
3-obesidad	428	9.7%
0-delgado	335	7.6%

Most occurring characters

Value	Count	Frequency (%)
o	5270	13.0%
-	4430	11.0%
r	3667	9.1%
e	3299	8.2%
a	3162	7.8%
l	2734	6.8%
1	2399	5.9%
N	2399	5.9%
m	2399	5.9%
s	1696	4.2%
Other values (11)	8980	22.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	27145	67.1%
Dash Punctuation	4430	11.0%
Decimal Number	4430	11.0%
Uppercase Letter	4430	11.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	5270	19.4%
r	3667	13.5%
e	3299	12.2%
a	3162	11.6%
l	2734	10.1%
m	2399	8.8%
s	1696	6.2%
b	1696	6.2%
p	1268	4.7%
d	1191	4.4%
Other values (2)	763	2.8%

Decimal Number

Value	Count	Frequency (%)
1	2399	54.2%
2	1268	28.6%
3	428	9.7%
0	335	7.6%

Uppercase Letter

Value	Count	Frequency (%)
N	2399	54.2%
S	1268	28.6%
O	428	9.7%
D	335	7.6%

Dash Punctuation

Value	Count	Frequency (%)
-	4430	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	31575	78.1%
Common	8860	21.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	5270	16.7%
r	3667	11.6%
e	3299	10.4%
a	3162	10.0%
l	2734	8.7%
N	2399	7.6%
m	2399	7.6%
s	1696	5.4%
b	1696	5.4%
S	1268	4.0%
Other values (6)	3985	12.6%

Common

Value	Count	Frequency (%)
-	4430	50.0%
1	2399	27.1%
2	1268	14.3%
3	428	4.8%
0	335	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	40435	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	5270	13.0%
-	4430	11.0%
r	3667	9.1%
e	3299	8.2%
a	3162	7.8%
l	2734	6.8%
1	2399	5.9%
N	2399	5.9%
m	2399	5.9%
s	1696	4.2%
Other values (11)	8980	22.2%

risk_factors
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	69.2 KiB

0	2020
3	710
1	667
4	633
2	400

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	4430
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	3
3rd row	3
4th row	4
5th row	3

Common Values

Value	Count	Frequency (%)
0	2020	45.6%
3	710	16.0%
1	667	15.1%
4	633	14.3%
2	400	9.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2020	45.6%
3	710	16.0%
1	667	15.1%
4	633	14.3%
2	400	9.0%

Most occurring characters

Value	Count	Frequency (%)
0	2020	45.6%
3	710	16.0%
1	667	15.1%
4	633	14.3%
2	400	9.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4430	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2020	45.6%
3	710	16.0%
1	667	15.1%
4	633	14.3%
2	400	9.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4430	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2020	45.6%
3	710	16.0%
1	667	15.1%
4	633	14.3%
2	400	9.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4430	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2020	45.6%
3	710	16.0%
1	667	15.1%
4	633	14.3%
2	400	9.0%

Auto

Heatmap
Table

	age	height	weight	waist_circum_preferred	hip_circum	bmi	rcc	ict	age_range	gender	gender_bin	obesity_bmi	obesity_bmi_txt	obesity_cc	obesity_cc_txt	obesity_rcc	obesity_rcc_txt	obesity_ict	obesity_ict_txt	risk_factors
age	1.000	-0.074	0.247	0.297	0.223	0.365	0.238	0.366	0.853	0.033	0.033	0.190	0.190	0.285	0.285	0.184	0.184	0.196	0.196	0.188
height	-0.074	1.000	0.585	0.449	0.222	0.099	0.473	0.067	0.038	0.641	0.641	0.057	0.057	0.106	0.106	0.079	0.079	0.090	0.090	0.076
weight	0.247	0.585	1.000	0.903	0.780	0.840	0.610	0.730	0.113	0.465	0.465	0.533	0.533	0.586	0.586	0.188	0.188	0.389	0.389	0.340
waist_circum_preferred	0.297	0.449	0.903	1.000	0.673	0.813	0.807	0.905	0.140	0.471	0.471	0.524	0.524	0.695	0.695	0.349	0.349	0.577	0.577	0.424
hip_circum	0.223	0.222	0.780	0.673	1.000	0.814	0.157	0.642	0.098	0.109	0.109	0.536	0.536	0.630	0.630	0.190	0.190	0.459	0.459	0.350
bmi	0.365	0.099	0.840	0.813	0.814	1.000	0.458	0.873	0.154	0.224	0.224	0.730	0.730	0.678	0.678	0.295	0.295	0.589	0.589	0.456
rcc	0.238	0.473	0.610	0.807	0.157	0.458	1.000	0.695	0.164	0.681	0.681	0.275	0.275	0.452	0.452	0.431	0.431	0.375	0.375	0.319
ict	0.366	0.067	0.730	0.905	0.642	0.873	0.695	1.000	0.161	0.269	0.269	0.582	0.582	0.739	0.739	0.431	0.431	0.739	0.739	0.514
age_range	0.853	0.038	0.113	0.140	0.098	0.154	0.164	0.161	1.000	0.000	0.000	0.190	0.190	0.278	0.278	0.172	0.172	0.192	0.192	0.180
gender	0.033	0.641	0.465	0.471	0.109	0.224	0.681	0.269	0.000	1.000	1.000	0.192	0.192	0.087	0.087	0.214	0.214	0.225	0.225	0.188
gender_bin	0.033	0.641	0.465	0.471	0.109	0.224	0.681	0.269	0.000	1.000	1.000	0.192	0.192	0.087	0.087	0.214	0.214	0.225	0.225	0.188
obesity_bmi	0.190	0.057	0.533	0.524	0.536	0.730	0.275	0.582	0.190	0.192	0.192	1.000	1.000	0.662	0.662	0.271	0.271	0.517	0.517	0.562
obesity_bmi_txt	0.190	0.057	0.533	0.524	0.536	0.730	0.275	0.582	0.190	0.192	0.192	1.000	1.000	0.662	0.662	0.271	0.271	0.517	0.517	0.562
obesity_cc	0.285	0.106	0.586	0.695	0.630	0.678	0.452	0.739	0.278	0.087	0.087	0.662	0.662	1.000	1.000	0.547	0.547	0.781	0.781	0.920
obesity_cc_txt	0.285	0.106	0.586	0.695	0.630	0.678	0.452	0.739	0.278	0.087	0.087	0.662	0.662	1.000	1.000	0.547	0.547	0.781	0.781	0.920
obesity_rcc	0.184	0.079	0.188	0.349	0.190	0.295	0.431	0.431	0.172	0.214	0.214	0.271	0.271	0.547	0.547	1.000	1.000	0.466	0.466	0.598
obesity_rcc_txt	0.184	0.079	0.188	0.349	0.190	0.295	0.431	0.431	0.172	0.214	0.214	0.271	0.271	0.547	0.547	1.000	1.000	0.466	0.466	0.598
obesity_ict	0.196	0.090	0.389	0.577	0.459	0.589	0.375	0.739	0.192	0.225	0.225	0.517	0.517	0.781	0.781	0.466	0.466	1.000	1.000	0.618
obesity_ict_txt	0.196	0.090	0.389	0.577	0.459	0.589	0.375	0.739	0.192	0.225	0.225	0.517	0.517	0.781	0.781	0.466	0.466	1.000	1.000	0.618
risk_factors	0.188	0.076	0.340	0.424	0.350	0.456	0.319	0.514	0.180	0.188	0.188	0.562	0.562	0.920	0.920	0.598	0.598	0.618	0.618	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	age	age_range	gender	height	weight	waist_circum_preferred	hip_circum	gender_bin	bmi	rcc	ict	obesity_bmi	obesity_bmi_txt	obesity_cc	obesity_cc_txt	obesity_rcc	obesity_rcc_txt	obesity_ict	obesity_ict_txt	risk_factors
1	47.0	46-55	male	187.1980	156.630	138.5062	142.1892	1	44.696399	0.974098	0.739891	3	3-Obesidad	1	1-Alto	1	1-Medio	3	3-Obesidad	4
2	50.0	46-55	male	180.5940	98.064	98.3996	109.9058	1	30.067891	0.895309	0.544866	3	3-Obesidad	1	1-Alto	0	0-Bajo	2	2-Sobrepeso	3
3	28.0	26-35	male	182.7022	89.211	97.0026	107.0102	1	26.725809	0.906480	0.530933	2	2-Sobrepeso	1	1-Alto	0	0-Bajo	2	2-Sobrepeso	3
4	52.0	46-55	male	185.9026	113.273	105.9942	111.0996	1	32.775964	0.954047	0.570160	3	3-Obesidad	1	1-Alto	1	1-Medio	2	2-Sobrepeso	4
5	50.0	46-55	male	183.1086	108.279	104.0892	112.3950	1	32.294365	0.926102	0.568456	3	3-Obesidad	1	1-Alto	0	0-Bajo	2	2-Sobrepeso	3
6	27.0	26-35	female	165.1000	57.885	74.9046	100.9904	0	21.235960	0.741700	0.453692	1	1-Normal	0	0-Bajo	0	0-Bajo	1	1-Normal	0
7	41.0	36-45	female	166.4970	72.186	78.2066	104.5972	0	26.039950	0.747693	0.469718	2	2-Sobrepeso	0	0-Bajo	0	0-Bajo	1	1-Normal	1
8	42.0	36-45	male	174.4980	83.536	87.1982	100.4062	1	27.434230	0.868454	0.499709	2	2-Sobrepeso	0	0-Bajo	0	0-Bajo	1	1-Normal	1
9	48.0	46-55	female	163.0934	66.511	70.0024	105.0036	0	25.004646	0.666667	0.429217	2	2-Sobrepeso	0	0-Bajo	0	0-Bajo	1	1-Normal	1
10	42.0	36-45	female	169.4942	70.597	69.3928	105.5878	0	24.574040	0.657205	0.409411	1	1-Normal	0	0-Bajo	0	0-Bajo	0	0-Delgado	0

	age	age_range	gender	height	weight	waist_circum_preferred	hip_circum	gender_bin	bmi	rcc	ict	obesity_bmi	obesity_bmi_txt	obesity_cc	obesity_cc_txt	obesity_rcc_txt	obesity_ict	obesity_ict_txt	risk_factors
4455	43.0	36-45	male	176.1998	88.984	93.3958	104.5972	1	28.661644	0.892909	0.530056	2	2-Sobrepeso	0	0-Bajo	0-Bajo	2	2-Sobrepeso	2
4456	40.0	36-45	female	163.3982	56.523	68.0974	95.8088	0	21.170478	0.710764	0.416757	1	1-Normal	0	0-Bajo	0-Bajo	1	1-Normal	0
4457	49.0	46-55	female	158.1912	69.916	81.7118	110.3122	0	27.939069	0.740732	0.516538	2	2-Sobrepeso	1	1-Alto	0-Bajo	2	2-Sobrepeso	3
4458	50.0	46-55	female	154.6098	59.701	71.6026	101.9048	0	24.975119	0.702642	0.463118	1	1-Normal	0	0-Bajo	0-Bajo	1	1-Normal	0
4459	29.0	26-35	female	161.0106	79.450	87.9094	112.9030	0	30.646788	0.778628	0.545985	3	3-Obesidad	1	1-Alto	0-Bajo	2	2-Sobrepeso	3
4460	35.0	26-35	female	152.8064	49.259	61.5950	93.0910	0	21.096116	0.661664	0.403092	1	1-Normal	0	0-Bajo	0-Bajo	0	0-Delgado	0
4461	40.0	36-45	female	168.6052	67.646	73.8124	100.4062	0	23.795794	0.735138	0.437782	1	1-Normal	0	0-Bajo	0-Bajo	1	1-Normal	0
4462	23.0	17-25	female	168.5036	73.775	78.0034	109.7026	0	25.983093	0.711044	0.462918	2	2-Sobrepeso	0	0-Bajo	0-Bajo	1	1-Normal	1
4463	24.0	17-25	male	170.5102	65.149	75.7936	97.7900	1	22.408203	0.775065	0.444511	1	1-Normal	0	0-Bajo	0-Bajo	1	1-Normal	0
4464	22.0	17-25	female	170.4086	61.290	68.8086	101.6000	0	21.106033	0.677250	0.403786	1	1-Normal	0	0-Bajo	0-Bajo	0	0-Delgado	0

Most frequently occurring

	age	age_range	gender	height	weight	waist_circum_preferred	hip_circum	gender_bin	bmi	rcc	ict	obesity_bmi	obesity_bmi_txt	obesity_cc	obesity_cc_txt	obesity_rcc	obesity_rcc_txt	obesity_ict	obesity_ict_txt	risk_factors	# duplicates
0	32.0	26-35	male	177.0888	85.579	89.8906	108.1024	1	27.288836	0.831532	0.507602	2	2-Sobrepeso	0	0-Bajo	0	0-Bajo	1	1-Normal	1	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Dash Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number